grodola.blogspot.com

Random writings and thoughts about Python

Random writings and thoughts about Python. Sunday, November 6, 2016. Psutil 5.0.0 is around twice as fast. OK, this is a big one. Starting from psutil 5.0.0 you can query multiple Process information around twice as fast than with previous versions (see original ticket. It took me 7 months, 108 commits and a massive refactoring of psutil internals (here is the big commit. Without worrying about what happens behind the curtains or on what OS you're on. Internally, it is not rare that multiple process info...

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Random writings and thoughts about Python | grodola.blogspot.com Reviews

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Random writings and thoughts about Python. Sunday, November 6, 2016. Psutil 5.0.0 is around twice as fast. OK, this is a big one. Starting from psutil 5.0.0 you can query multiple Process information around twice as fast than with previous versions (see original ticket. It took me 7 months, 108 commits and a massive refactoring of psutil internals (here is the big commit. Without worrying about what happens behind the curtains or on what OS you're on. Internally, it is not rare that multiple process info...

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Random writings and thoughts about Python | grodola.blogspot.com Reviews

https://grodola.blogspot.com

Random writings and thoughts about Python. Sunday, November 6, 2016. Psutil 5.0.0 is around twice as fast. OK, this is a big one. Starting from psutil 5.0.0 you can query multiple Process information around twice as fast than with previous versions (see original ticket. It took me 7 months, 108 commits and a massive refactoring of psutil internals (here is the big commit. Without worrying about what happens behind the curtains or on what OS you're on. Internally, it is not rare that multiple process info...

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grodola.blogspot.com

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Random writings and thoughts about Python: November 2016

http://grodola.blogspot.com/2016_11_01_archive.html

Random writings and thoughts about Python. Sunday, November 6, 2016. Psutil 5.0.0 is around twice as fast. OK, this is a big one. Starting from psutil 5.0.0 you can query multiple Process information around twice as fast than with previous versions (see original ticket. It took me 7 months, 108 commits and a massive refactoring of psutil internals (here is the big commit. Without worrying about what happens behind the curtains or on what OS you're on. Internally, it is not rare that multiple process info...

2

Random writings and thoughts about Python: psutil 4.4.0 released - improved Linux memory metrics and OSX support

http://grodola.blogspot.com/2016/10/psutil-440-released-improved-linux.html

Random writings and thoughts about Python. Sunday, October 23, 2016. Psutil 4.4.0 released - improved Linux memory metrics and OSX support. OK, here's another psutil. Release. Main highlights of this release are more accurate memory metrics on Linux and different OSX fixes. Here goes. This new psutil release sets a milestone regarding. On Linux which are now calculated way more precisely. Which was used in the original Linux kernel commit. For many years the OSX development of psutil occurred on a very o...

3

Random writings and thoughts about Python: November 2015

http://grodola.blogspot.com/2015_11_01_archive.html

Random writings and thoughts about Python. Tuesday, November 24, 2015. OpenBSD support for psutil. OK, this is a big one: starting from version 3.3.0. Released just now) psutil. Will officially support OpenBSD. Platforms. This was contributed by Landry Breuil. And myself in PR #615. The interesting parts of the code changes are this. As expected, OpenBSD implementation is very similar to FreeBSD. Which was already in place), that is why I decided to merge most of it in a single C file ( psutil bsd.c.

4

Random writings and thoughts about Python: January 2016

http://grodola.blogspot.com/2016_01_01_archive.html

Random writings and thoughts about Python. Friday, January 15, 2016. NetBSD support for psutil. Roughly two months have passed since I last announced psutil. Added support for OpenBSD. Platforms. Today I am happy to announce we also have NetBSD support. This was contributed by Thomas Klausner. Differences with FreeBSD (and OpenBSD). Is not implemented. The kernel provides the necessary pieces but I didn't do this yet (hopefully later). Process.num ctx switches(). But it is always set to 0. File, as usual.

5

Random writings and thoughts about Python: psutil 4.0.0 and how to get "real" process memory and environ in Python

http://grodola.blogspot.com/2016/02/psutil-4-real-process-memory-and-environ.html

Random writings and thoughts about Python. Wednesday, February 17, 2016. Psutil 4.0.0 and how to get "real" process memory and environ in Python. New psutil 4.0.0 is out, with some interesting news about process memory metrics. I'll just get straight to the point and describe what's new. Real" process memory info. Determining how much memory a process really. Uses is not an easy matter (see this. In the Linux world this is called USS. The USS (Unique Set Size) is the memory. On Linux there are two additi...

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Python Data, Contributor to PyBloggers

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Python Data, Contributor to PyBloggers. Skip to main content. Collecting / Storing Tweets with Python and MySQL. January 24, 2017. January 24, 2017. A few days ago, I published Collecting / Storing Tweets with Python and MongoDB. In that post, I describe the steps needed to collect and store tweets gathered via the Twitter Streaming API. I received a comment on that post asking how to store data into MySQL instead of MongoDB. Here’s what you’d need to do […]. January 10, 2017. January 10, 2017. There are...

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Armin Ronacher, Contributor to PyBloggers

http://www.pybloggers.com/author/armin-ronacher

Armin Ronacher, Contributor to PyBloggers. Skip to main content. Be Careful with Python’s New-Style String Format. December 28, 2016. December 29, 2016. This should have been obvious to me for a longer time, but until earlier today I did not really realize the severity of the issues caused by str.format on untrusted user input. It came up as a way to bypass the Jinja2 Sandbox in a way that would permit retrieving information that you should not […]. Be Careful About What You Dislike. November 4, 2016.

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Automating Django Deployments with Fabric and Ansible

http://www.pybloggers.com/automating-django-deployments-with-fabric-and-ansible

Automating Django Deployments with Fabric and Ansible. Skip to main content. Automating Django Deployments with Fabric and Ansible. December 28, 2016. December 28, 2016. This post was originally published here. Post, we covered all the steps required to successfully develop and deploy a Django app on a single server. In this tutorial we will automate the deployment process with Fabric. To address these issues:. Handle the incoming concurrent requests. Specifically, we will automate:. Why Python 2.7?

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Simulating the Monty Hall Problem

http://www.pybloggers.com/simulating-the-monty-hall-problem

Simulating the Monty Hall Problem. Skip to main content. Simulating the Monty Hall Problem. December 25, 2016. December 25, 2016. This post was originally published here. I’ve been hearing about the Monty Hall problem. For years and its never quite made sense to me, so I decided to program up a quick simulation. Instead, the contestant is more likely to win the car if they change their choice. How can this be? Number of simulations to run. Outcome if do not change choice. Outcome if change choice. Probab...

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Machine Learning Walkthrough Part One: Preparing the Data

http://www.pybloggers.com/machine-learning-walkthrough-part-one-preparing-the-data

Machine Learning Walkthrough Part One: Preparing the Data. Skip to main content. Machine Learning Walkthrough Part One: Preparing the Data. December 28, 2016. January 2, 2017. This post was originally published here. Cleaning and preparing data is a critical first step in any machine learning project. In this blog post, Dataquest student Daniel Osei’s. Takes us through examining a dataset, selecting columns for features, exploring the data visually and then encoding the features for machine learning.

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Scikit-Learn Cheat Sheet: Python Machine Learning

http://www.pybloggers.com/scikit-learn-cheat-sheet-python-machine-learning

Scikit-Learn Cheat Sheet: Python Machine Learning. Skip to main content. Scikit-Learn Cheat Sheet: Python Machine Learning. January 12, 2017. January 12, 2017. This post was originally published here. By Karlijn Willems January 12, 2017. This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience! Most of you who are learning data science with Python will have definitely heard already about. Cheat sheet will intr...

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yhat, Contributor to PyBloggers

http://www.pybloggers.com/author/yhat

Yhat, Contributor to PyBloggers. Skip to main content. Isochrones using the Google Maps Distance Matrix API. March 9, 2017. March 9, 2017. By Drew Fustin March 9, 2017 About Drew: Drew is the Lead Data Scientist at SpotHero, an on-demand solution to help drivers find their perfect parking spot, reserved ahead of time often at rates much lower than you’d find if you just drove up to the garage. He’s also worked at Digital H2O and […]. The Current State of Automated Machine Learning. March 7, 2017. In this...

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Random writings and thoughts about Python

Random writings and thoughts about Python. Sunday, November 6, 2016. Psutil 5.0.0 is around twice as fast. OK, this is a big one. Starting from psutil 5.0.0 you can query multiple Process information around twice as fast than with previous versions (see original ticket. It took me 7 months, 108 commits and a massive refactoring of psutil internals (here is the big commit. Without worrying about what happens behind the curtains or on what OS you're on. Internally, it is not rare that multiple process info...

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